基于不同驱动因子的番茄生长模型比较

朱雨晴; 薛晓萍

doi:10.11898/1001-7313.20240610

基于不同驱动因子的番茄生长模型比较

DOI: 10.11898/1001-7313.20240610

朱雨晴¹,
薛晓萍^2, ,

1. 山东省济宁市气象局, 济宁 272113;
2. 山东省气候中心, 济南 250031

详细信息

通信作者:
薛晓萍,xxpdhy@163.com

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出版历程
- 收稿日期: 2024-08-04
- 修回日期: 2024-09-29
- 网络出版日期: 2024-11-07

Comparison and Evaluation of Tomato Growth Models Based on Different Drivers

Zhu Yuqing¹,
Xue Xiaoping^{2
, ,}

1. Jining Meteorological Bureau of Shandong Province, Jining 272113;
2. Shandong Provincial Climate Center, Jinan 250031

摘要

摘要: 利用2018—2023年在山东省临沂、济南和济宁开展的日光温室试验测定数据,基于环境因素与番茄的不同生长指标,分别以辐热积、有效积温和适宜度指数为自变量,以番茄不同生长指标为因变量构建Logistic生长模型,并利用独立数据对模型进行验证,比较3种模型对番茄不同生长指标模拟的准确性和优缺点,得到番茄不同发育期的最优模型。结果表明:温室番茄开花期对光照不敏感,此时选择积温法建立Logistic模型,对开花数的模拟程度最优;影响番茄坐果数的主要气象因子为光照、温度和湿度,适宜度法建立的Logistic模型精确度最高;番茄果茎生长主要与光合有效辐射和温度有关,辐热积法建立的Logistic模型精确度最高。
- 辐热积;
- 积温;
- 适宜度;
- Logistic模型
Abstract: Simulating growth processes of greenhouse crops under different environmental factors is one of the important means for planning cultivation and predicting yield in greenhouse production. Tomatoes are main greenhouse plants in northern China, characterized by high nutritional value and strong adaptability to cultivation. Clarifying the quantitative relationship between the growth indicators of greenhouse tomatoes and microclimate environmental factors is of great significance for improving the economic benefits. Utilizing environmental factors and various growth indicators of tomatoes, Logistic growth models are constructed by taking accumulated radiation, effective accumulated temperature, and suitability index as independent variables, and different growth indicators of tomatoes as dependent variables. Subsequently, models are validated using independent data. By comparing the precision of three models in simulating different tomato growth indicators, advantages and disadvantages of each model are analyzed to select the optimal model for different stages of tomato development. It provides a more precise theoretical basis for meteorological services and tomato yield prediction. Results show that greenhouse tomatoes are not sensitive to light during the flowering period. Therefore, choosing the accumulated temperature method to establish a logistic model yields the best simulation of the number of flowers. In the second inflorescence of tomatoes, the limit value of the number of flowers is 5.4; The accumulated radiation required to reach this limit is 146.6 mol·m^-2, the effective accumulated temperature is 73.3 ℃, and the suitability index is 15.1. Main meteorological factors affecting the number of fruit sets in tomatoes are light, temperature, and humidity. Therefore, using the suitability method to establish a logistic model achieves the highest accuracy in simulating this. The maximum number of fruit sets in the second inflorescence of tomatoes is 5.0; the accumulated radiation required to reach this limit is 146.9 mol·m^-2, the effective accumulated temperature is 47.1 ℃ and the suitability index is 14.6. Tomato fruit growth is mainly related to photosynthetically active radiation and temperature; therefore, choosing the accumulated radiation method provides the highest precision in simulating tomato fruit growth. The maximum transverse diameter of the tomato fruit is 51.6 mm, requiring accumulated radiation, effective accumulated temperature, and suitability index of 230.0 mol·m^-2, 69.6 ℃, and 18.8. The maximum longitudinal diameter of the tomato fruit is 74.9 mm, requiring accumulated radiation, effective accumulated temperature, and suitability index of 252.0 mol·m^-2, 69.6 ℃, and 18.8, respectively. Overall, the effective accumulated temperature model has fewer parameters and is simple and convenient to calculate, showing significant effectiveness in simulating the non-light-sensitive developmental stages of crops. The accumulated radiation method has higher accuracy, but involves a complex calculation process and greater difficulty in data acquisition. On the contrary, selecting the suitability method, which involves relatively simple data acquisition and incorporates more environmental factors, for simulation can also achieve relatively accurate results, making it more cost-effective in practical applications.
- photothermal product;
- accumulated temperature;
- suitability;
- Logistic model

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基于不同驱动因子的番茄生长模型比较

DOI: 10.11898/1001-7313.20240610

通信作者:
薛晓萍,xxpdhy@163.com

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Comparison and Evaluation of Tomato Growth Models Based on Different Drivers

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留言板

基于不同驱动因子的番茄生长模型比较

DOI: 10.11898/1001-7313.20240610

通信作者: 薛晓萍,xxpdhy@163.com

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出版历程

Comparison and Evaluation of Tomato Growth Models Based on Different Drivers

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出版历程

目录

通信作者:
薛晓萍,xxpdhy@163.com